Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1504
Title: Deep Learning with PyTorch Quick Start Guide
Other Titles: Learn to train and deploy neural network models in Python
Authors: Julian, David
Keywords: Deep Learning with PyTorch Quick Start Guide
Issue Date: Dec-2018
Publisher: Packt Publishing
Series/Report no.: 1201218;
Abstract: PyTorch is surprisingly easy to learn and provides advanced features such as a supporting multiprocessor, as well as distributed and parallel computation. PyTorch has a library of pre-trained models, providing out-of-the-box solutions for image classification. PyTorch offers one of the most accessible entry points into cutting-edge deep learning. It is tightly integrated with the Python programming language, so for Python programmers, coding it seems natural and intuitive. The unique, dynamic way of treating computational graphs means that PyTorch is both efficient and flexible.
URI: http://hdl.handle.net/123456789/1504
ISBN: 978-1-78953-409-2
Appears in Collections:E-Books

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